公开(公告)号：US20190180424A1

公开(公告)日：2019-06-13

申请号：US16229309

申请日：2018-12-21

Applicant: Rambus Inc.

Inventor： Patrick R. Gill ,  David G. Stork ,  Patrick R. Johnstone

IPC: G06T5/10 ,  G06T7/246 ,  G02B27/42 ,  G02B5/18 ,  G02B27/46

Abstract: An optical method of measuring motion employs a phase grating that produces a diffraction pattern responsive to light from an imaged scene. First and second images of the diffraction pattern are captured and compared to produce an image comparison. Apparent motion is then calculated from the image comparison.

公开(公告)号：US10176562B2

公开(公告)日：2019-01-08

申请号：US15119701

申请日：2015-02-19

Applicant: Rambus Inc.

Inventor： Patrick R. Gill ,  David G. Stork ,  Patrick R. Johnstone

IPC: G06K9/46 ,  G06T5/10 ,  G02B5/18 ,  G02B27/42 ,  G02B27/46 ,  G06T7/20

Abstract: An optical method of measuring motion employs a phase grating that produces a diffraction pattern responsive to light from an imaged scene. First and second images of the diffraction pattern are captured and compared to produce an image comparison. Apparent motion is then calculated from the image comparison.

公开(公告)号：US20170084046A1

公开(公告)日：2017-03-23

申请号：US15119701

申请日：2015-02-19

Applicant: Rambus Inc.

Inventor： Patrick R. Gill ,  David G. Stork ,  Patrick R. Johnstone

IPC: G06T7/20 ,  G02B27/42 ,  G02B27/46 ,  G06T5/10

CPC classification number: G06T5/10 ,  G02B5/18 ,  G02B27/42 ,  G02B27/4205 ,  G02B27/46 ,  G06T7/246 ,  G06T2207/10004

Abstract: Computational diffractive imagers employ special optical phase gratings integrated with photodetector matrices. Such imagers do not require a lens, and so can be extremely small and inexpensive. Captured interference patterns are unintelligible to a human observer, but the captured data includes sufficient information to allow the image or aspects of the image to be computed. Computational diffractive imagers can be tailored to extract application-specific information or compute decisions (rather than compute an image) based on the optical signal. Both the phase grating and the signal processing can be optimized for the information in the visual field and the task at hand. For example, sequences of interference patterns can be compared to measure changes in angular position, and this information can be used to sense and measure motion. Such interference patterns can also be used for pattern recognition, such as to perform automated face detection and recognition.